Native poultry is a valuable genetic source with high resistance against diseases providing an important subject for breeding programs. The non-linear mathematical modeling of the growth pattern may partly explain the relationship between requirements and body weight to precise feeding that plays a vital role in the animal enterprises. A study was conducted to compare five non-linear models inc...

Non-linear voter models assume that the opinion of an agent depends on the opinions of its neighbors in a non-linear manner. This allows for voting rules different from majority voting. While the linear voter model is known to reach consensus, non-linear voter models can result in the coexistence of opposite opinions. Our aim is to derive approximations to correctly predict the time dependent d...

A general framework for describing non-linear rational expectation models is developed that involves state variables, response variables and expectation variables. The solution to such models can be expressed in terms of a response function or an expectation function. Computational methods for solving such models involve approximating one of these functions. Alternative methods are characterize...

This paper demonstrates the use of exact predictive likelihood functions for simple non-linear models. A measure of predictive efficiency based on the concept of expected information loss is introduced as a way of comparing alternative prediction functions. It is shown that the predictive likelihood function minimizes expected information loss over a wide class of potential prediction functions...

In a linear dynamic model with linear measurements, there is always only one peak in the posterior; very small non-linearities in dynamic models can lead to a substantial number of peaks. As a result, it can be very difficult to represent the posterior: it may be necessary to represent all the peaks to be able to compute the mean or the covariance. We discuss these difficulties in section 2.1. ...

We consider gauged sigma-models from a Riemann surface into a Kähler and hamiltonian G-manifold X. The supersymmetric N = 2 theory can always be twisted to produce a gauged A-model. This model localizes to the moduli space of solutions of the vortex equations and computes the Hamiltonian Gromov-Witten invariants. When the target is equivariantly Calabi-Yau, i.e. when its first G-equivariant Che...

We study a class of type I string models with supersymmetry broken on the world-volume of some D-branes and vanishing tree-level potential. Despite the non-supersymmetric spectrum, supersymmetry is non-linearly realized on these D-branes, while it is spontaneously broken in the bulk by Scherk-Schwarz boundary conditions. These models can easily accommodate 3-branes with interesting gauge groups...

Various applications of nonlinear a-models to string theories are discussed.

In image processing, a static texture is defined as an image showing spatial stationarity, while A dynamic texture is a sequence of images characterized by temporal as well as spatial stationary nature. Dynamic Texture synthesis is the process of producing artificial Dynamic textures starting from a given sample texture. Videos representing flames, water, smoke, etc. are often defined as dynami...

Non-linearity in the human ear can cause audible distortion not present in the original signal. Such distortion is generated within the ear by inter-modulation of a spectral complex, itself containing possible masked components. When psychoacoustic codecs remove these supposedly masked components, the in-ear-generated distortion is also removed, and so our listening experience is modified. In t...